Please use this identifier to cite or link to this item:
Title: Jump and volatility risk premiums implied by VIX
Authors: Duan, J.-C. 
Yeh, C.-Y.
Keywords: Constant elasticity of variance
Model-free volatility
Stochastic volatility
Issue Date: 2010
Citation: Duan, J.-C., Yeh, C.-Y. (2010). Jump and volatility risk premiums implied by VIX. Journal of Economic Dynamics and Control 34 (11) : 2232-2244. ScholarBank@NUS Repository.
Abstract: An estimation method is developed for extracting the latent stochastic volatility from VIX, a volatility index for the S&P 500 index return produced by the Chicago Board Options Exchange (CBOE) using the so-called model-free volatility construction. Our model specification encompasses all mean-reverting stochastic volatility option pricing models with a constant-elasticity of variance and those allowing for price jumps under stochastic volatility. Our approach is made possible by linking the latent volatility to the VIX index via a new theoretical relationship under the risk-neutral measure. Because option prices are not directly used in estimation, we can avoid the computational burden associated with option valuation for stochastic volatility/jump option pricing models. Our empirical findings are: (1) incorporating a jump risk factor is critically important; (2) the jump and volatility risks are priced; (3) the popular square-root stochastic volatility process is a poor model specification irrespective of allowing for price jumps or not. Our simulation study shows that statistical inference is reliable and not materially affected by the approximation used in the VIX index construction. © 2010 Elsevier B.V.
Source Title: Journal of Economic Dynamics and Control
ISSN: 01651889
DOI: 10.1016/j.jedc.2010.05.006
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Jan 17, 2019


checked on Jan 9, 2019

Page view(s)

checked on Jan 12, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.